Rsi Regression Channel

                       In statistics, Regression Channel is a approach for modelling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables).We Applied relative strength index(rsi) values to develop regression models of various degrees in order to understand relationship between Rsi and price movement.

                       Our goal is range prediction and error reduction of Price divergence, thus we use Rsi Regression Channel to fit a predictive model for observed Rsi data set to identify key reversals in price. After setting such model,the fitted line can be used to make a key reversal range through standard deviation.

Why use Rsi Regression Channel?

Various Degrees of regression included:

Degree 0 – non-zero constant

Degree 1 – linear

Degree 2 – quadratic

Degree 3 – cubic

Degree 4 – quartic (or, if all terms have even degree, biquadratic)

Degree 5 – quintic

Degree 6 – sextic (or, less commonly, hexic)

Degree 7 – septic (or, less commonly, heptic)

Degree 8 – octic

*Can change "Degree".

*can change "standard deviation".

*can change "bars" of rsi data of equivalant price bars to valuate regression.

*can change "rsi period", "rsi price type", "timeframe".

*can change color and thickness of upper band,lower band and rsi itself.

*Custom ALERTS